Feasibility Research of Pulse Wave Decomposition Based on Lognormal Function
WANG Lu, CHEN Xue-wei, HAO Li-ling, XU Li-sheng
2019, 40 (12):
1695-1699.
DOI: 10.12068/j.issn.1005-3026.2019.12.005
The feasibility of decomposing pulse wave was evaluated by constructing the blood flow wave based on the Lognormal function. Twenty-three healthy subjects were studied and their noninvasive aortic pulse waves were acquired by using a noninvasive aortic pulse analyzer (AtCor Medical SphygmoCor). The Lognormal function and the triangle function are applied respectively for constructing the blood flow wave, and aortic pressure waveform is decomposed into forward and backward waves by means of the impedance analysis. The reflection parameters including reflection amplitude (RMlog, RMtri) and reflection index (RIlog, RItri) are then calculated. Meanwhile, these parameters are analyzed by the Bland-Altman method and the regression analysis. The estimation of RM and RI has high consistency for these two methods, and their regression equations are RMlog=1.009RMtri-0.007 and RIlog=1.008RItri-0.004, respectively. RMlog has significantly positive correlation with RMtri (r=0.999; P<0.001), and RIlog has significantly positive correlation with RItri (r=0.999; P<0.001). Therefore, it is feasible to decompose the aortic pressure waveform based on the Lognormal function and the performance is better than that of the triangle function.
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